DG-Font: Deformable Generative Networks for Unsupervised Font Generation

The source code for 'DG-Font: Deformable Generative Networks for Unsupervised Font Generation', by Yangchen Xie, Xinyuan Chen, Li sun and Yue lu. The paper was accepted by CVPR2021.

Arvix version

Gallery

Dependencies

Libarary

pytorch (>=1.0)
tqdm  
numpy
opencv-python  
scipy  
sklearn
matplotlib  
pillow  
tensorboardX 

DCN

please refer to https://github.com/chengdazhi/Deformable-Convolution-V2-PyTorch/tree/pytorch_1.0.0 to install the dependencies of deformable convolution.

Dataset

方正字库 provides free font download for non-commercial users.

Example directory hierarchy

Project
|--- DG-Font
|          |--- font2img.py    
|          |--- main.py
|          |--- train
|                 |--- train.py
|
|--- data
       |--- font1
       |--- font2
             |--- 0000.png
             |--- 0001.png
             |--- ...
       |--- ...

How to run

prepare dataset

python font2img.py --ttf_path ttf_folder --chara character.txt --save_path save_folder --img_size 80 --chara_size CHARACTERSIZE

train

python main.py --gpu GPU_ID --img_size 80 --data_path /path/to --output_k CLASS_NUM --batch_size BATCHSIZE --val_num TEST_IMGS_NUM_FOR_EACH_CLASS

test

python main.py --gpu GPU_ID --img_size 80 --data_path /path/to --output_k CLASS_NUM --batch_size BATCHSIZE --validation --load_model $DIR_TO_LOAD

Acknowledgements

We would like to thank Johnson yue and 上海驿创信息技术有限公司 for their advices in code. Our code is based on TUNIT.

Bibtex

@inproceedings{DG-Font,
    title={DG-Font: Deformable Generative Networks for Unsupervised Font Generation},
    author={Yangchen Xie, Xinyuan Chen, Li sun, Yue lu},
    booktitle={Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition},
    year={2021}
}